Назад
Company hidden
обновлено 6 дней назад

Senior Data Engineer (Python)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Data Engineer (Python/Data Platforms): Designing and maintaining scalable data architectures, pipelines, and automated workflows for NAVOCEANO and CNMOC mission systems with an accent on data integration, quality, security, and geospatial analytics. Focus on integrating scientific and operational datasets, modernizing cloud and geospatial platforms, and mentoring engineers while supporting mission-critical software applications.

Location: Stennis Space Center, Mississippi, United States; majority of work performed on-site

Company

hirify.global is an employee-owned technology company delivering software, data, and engineering capabilities for government and defense missions.

What you will do

  • Design and maintain scalable data architectures, data pipelines, and automated workflows.
  • Integrate operational, scientific, and geospatial data into enterprise systems.
  • Ensure data quality, integrity, availability, and security throughout the data lifecycle.
  • Develop, test, deploy, and sustain software applications supporting NAVOCEANO and CNMOC missions.
  • Support modernization involving cloud technologies, geospatial systems, and advanced analytics platforms.
  • Collaborate with scientists, analysts, software developers, and mission stakeholders while mentoring junior engineers.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Data Science, or a related field.
  • Active Secret Clearance or ability to obtain an Interim Secret Clearance before starting.
  • 7–10+ years of experience in algorithmic and software application development.
  • Experience with Python, modern data-processing libraries such as Polars or Pandas, Pydantic, Git or Subversion, XML, JSON, Markdown, HTML, CSS, and JavaScript.
  • Strong understanding of data modeling, data integration, database design, and structured and unstructured datasets.
  • Experience applying Artificial Intelligence to accelerate performance and understanding data velocity, volume, variety, and veracity concepts.

Nice to have

  • Security+ certification and experience with ETL/ELT, large-scale data ingestion, transformation, analytics workflows, orchestration, and automation.
  • Experience with meteorology and oceanography time-series data, ESRI technologies, geospatial systems, and NOAA ERDDAP APIs.
  • Knowledge of cybersecurity practices, DISA STIG checklists, container technologies, cloud platforms, and databases such as PostgreSQL with PostGIS, SQL Server, or Oracle.

Culture & Benefits

  • Employee ownership with profit sharing.
  • Generous 401(k) and educational reimbursement.
  • Health, dental, life, and vision insurance.
  • Engaging assignments, competitive compensation, and a pleasant work environment.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →